In 2016, the number of mobile phone subscriptions worldwide had surpassed the total world population; moreover, the number of smartphone addicts is increasing each year. Thus, the objective of this study is to analyze smartphone addiction by considering the differences between smartphone usage patterns as well as cognition. Our proposed method involves automatically collecting and analyzing data through an app instead of using the existing self-reporting method, thereby improving the accuracy of data and ensuring data reliability from respondents. Based on the results of our study, we observed that there is a significant cognitive bias between the self-reports and automatically collected data. As a result of applying data mining, among the six criteria out of the total 24 items of the questionnaire, the higher the “recurrence” item, the higher the addiction; further, “forbidden” item 1 had the largest effect on addiction. In addition, the input variables that have the greatest influence on the high-risk users were the number of times the screen was turned on and real-use time/cognitive-use time. However, the amount of data and time of smartphone usage were not related to addiction. In the future, we will modify the app to obtain more accurate data, based on which, we can analyze the effects of smartphone addiction, such as depression, anxiety, stress, self-esteem, and emotional regulation, among others.

Education for sustainable development (ESD) refers to education on the values and behaviors necessary for a sustainable future and society where everyone receives high-quality benefits. In the era of the fourth industrial revolution, convergence thinking is emphasized as a method of ESD. Therefore, this study aims to derive a model for developing open convergence subjects for ESD. The idea for this model was derived by combining the process of establishing a Convergence Department at Rey Juan Carlos University in Spain and the unit activities of Kyoto University in Japan. The challenges of failing to achieve the original goal and purpose of convergence due to emphasizing specific majors were solved by defining requirements for the model. Convergence subjects that meet the requirements are developed by following the order of the proposed model. In the future, a convergence subject pilot model will be applied using the proposed model to present and operate a course development process called “technology and future are seen through the window of currency”.

During the COVID-19 pandemic, most education has been conducted through online classes. While feedback and interaction between students and instructors are significant in programming education or engineering practice, online education today cannot satisfy these aspects of learning. Therefore, this study proposes a learning support system for programming education and presents the results of designing and implementing this system. The proposed system consists of an online development environment module, a learning monitoring module, and a learning support module. It also provides a web-based programming environment, real-time chat and code mirroring, error guide messages and related lectures, e-learning quizzes, and learning activity analysis features. The system standardizes the development environment between the instructor and students, helps students take the initiative in solving errors, and enables code-oriented interactions between the instructor and students. It also collects data from all learning situations in the database. Conducting a big data analysis with the collected data will enable individual guidance for students by finding errors that frequently occur in programming and recommending learning materials to solve them.

As the numbers of traveler increases and BYOD culture spreads, this study developed a smart key system using NFC of smart phone that allows people to use their smart phones to easily make room reservations and enter their rooms without separate keys. This system attempts to resolve difficulties experienced while managing and utilizing accommodations from a distance, difficulties experienced when users lose keys or forget their password and in communication between users and managers. The test results in the actual locker management, it is very useful to utilize of the locker administration in the various place, as well as useful accommodation. The implemented smart key system has the benefit to control the Doorlock without a secret number.